BI Developer, Google Cloud
Indexed description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in data modeling, developing data sets, or creating data visualizations.
- Experience writing SQL queries.
- Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
- Experience in business intelligence, data analytics or data engineering.
- MBA, Master's degree, or advanced degree in a technical or scientific field of study.
- Experience supporting data-driven sales operations, consulting, or program management and cross-functional BI initiatives in a cloud business.
- Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
- Proficiency in cloud-based data platforms and related BI services.
- Familiarity with statistical modeling, machine learning, or data mining techniques.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Partner with cross-functional teams to define, develop, and test AI agents that integrate with existing data pipelines, establishing scalable frameworks to automate the generation and delivery of actionable business intelligence.
- Develop data infrastructure, which includes building SQL scripts, creating data pipelines, data warehouses, crafting models, and designing user-friendly dashboards.
- Transform data into actionable insights by developing data models, data marts, and automating reporting processes to provide leadership with a clear picture of key business and process performance.
- Lead assigned projects from conceptualization to delivery and ensure your data solutions offer relevant, high-quality data and insights to propel the growth of the business.
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